Head-to-head comparison across 3benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Gemini 3.5 Flash
88
GLM-5.1
83
Verified leaderboard positions: Gemini 3.5 Flash #7 · GLM-5.1 #23
Pick Gemini 3.5 Flash if you want the stronger benchmark profile. GLM-5.1 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Agentic
+11.9 difference
Coding
+6.4 difference
Knowledge
+5.7 difference
Gemini 3.5 Flash
GLM-5.1
$1.5 / $9
$1.4 / $4.4
284.2 t/s
N/A
18.55s
N/A
1M
203K
Pick Gemini 3.5 Flash if you want the stronger benchmark profile. GLM-5.1 only becomes the better choice if coding is the priority or you want the cheaper token bill.
Gemini 3.5 Flash is clearly ahead on the provisional aggregate, 88 to 83. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3.5 Flash's sharpest advantage is in agentic, where it averages 77.2 against 65.3. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 76.2% to 63.5%. GLM-5.1 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Gemini 3.5 Flash is also the more expensive model on tokens at $1.50 input / $9.00 output per 1M tokens, versus $1.40 input / $4.40 output per 1M tokens for GLM-5.1. That is roughly 2.0x on output cost alone. Gemini 3.5 Flash gives you the larger context window at 1M, compared with 203K for GLM-5.1.
Gemini 3.5 Flash is ahead on BenchLM's provisional leaderboard, 88 to 83. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 76.2% and 63.5%.
Gemini 3.5 Flash has the edge for knowledge tasks in this comparison, averaging 58 versus 52.3. Inside this category, HLE is the benchmark that creates the most daylight between them.
GLM-5.1 has the edge for coding in this comparison, averaging 60.9 versus 54.5. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Gemini 3.5 Flash has the edge for agentic tasks in this comparison, averaging 77.2 versus 65.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.
Free. No spam. Unsubscribe anytime.